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상세 청각 특성을 평가하기 위한 ACC 반응을 이용한 객관적인 방법 연구

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Abstract
The goal of this study was to evaluate the electrophysiological approach to assess specific auditory property using acoustic change complex response. The specific auditory properties evaluated in this study were the presence of cochlear dead region (CDR) and the spectral resolution. The acoustic change complex (ACC) as a type of auditory evoked potential is elicited by a change in an ongoing sound. Modified TEN stimuli and spectral ripple stimuli were used in the electrophysiological test for identifying CDR and assessing spectral resolution, respectively. In section 1, behavioral TEN test and electrophysiological TEN-ACC test were conducted to identify the presence of CDR. In section 2, behavioral spectral ripple discrimination (SRD) test and electrophysiological SR-ACC test were implemented to assess spectral resolution. The statistical analysis was conducted to confirm the effectiveness of the electrophysiological approach. In section 1, TEN-ACC thresholds in the CDR group were significantly higher (≥12 dB SNR) than those in the non-CDR group (NH and HI groups). There was a statistically significant correlation between TEN and TEN-ACC test. In section 2, HI group has the statistically lower threshold for the SR-ACC test than NH group. The correlation between SRD and SR-ACC test was statistically significant. These results suggest that the electrophysiological tests have a possibility to evaluate the auditory property objectively. Further studies are necessary to confirm the feasibility of this approach in clinical practice.
Author(s)
강수진
Issued Date
2018
Awarded Date
2018-08
Type
Dissertation
Keyword
Auditory evoked potentialAcoustic change complexcochlear dead regionspectral resolutionhearing loss
URI
https://oak.ulsan.ac.kr/handle/2021.oak/6773
http://ulsan.dcollection.net/common/orgView/200000104882
Alternative Author(s)
Kang Soojin
Affiliation
울산대학교
Department
일반대학원 전기전자컴퓨터공학과
Advisor
우지환
Degree
Doctor
Publisher
울산대학교 일반대학원 전기전자컴퓨터공학과
Language
eng
Rights
울산대학교 논문은 저작권에 의해 보호받습니다.
Appears in Collections:
Computer Engineering & Information Technology > 2. Theses (Ph.D)
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